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Landmark Update of GPS/INS for Mobile Mapping System using a nearly horizontal single camera and 3D Point-Cloud

机译:使用近水平单个相机和3D点云移动映射系统GPS / INS的地标更新

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3D Mobile Mapping System (MMS) featuring dense point-cloud modeling has been developed. (Figure 1) The system consists of a rigid Sensor Bed (SB) attached on the roof of a van, laser range finders (LRF) and cameras that are mounted on the SB. The measurement is performed dynamically by the MMS in the target area, and the 3D reconstruction is carried out in post processing. The 3D models of arbitrary area that contains urban centers of poor satellite visibility are needed for objective Geographical Information System (GIS). Thus the posi-tioning and attitude determination system using GPS need to be coupled with inertial measurement unit (IMU). However the expensive employed IMU is, difficult to keep deci-meter accuracy under long GPS outage. This paper describes the reasonable method for accu-racy improvement of the MMS's positioning accuracy in such area. The proposing method employs the position measured road feature as the landmark, which is observed by the nearly horizontal camera (NHC) and the LRF that have been originally mounted on the MMS to collect the data for the 3D mapping. The evaluation is performed us-ing the field data collected by the normal MMS's meas-urement procedure, and decimeter-level positioning accu-racy under full GPS outage is confirmed.
机译:3D移动映射系统(MMS)已经开发出密集的点云建模。 (图1)系统由安装在面包车,激光测距仪(LRF)和安装在SB上的摄像头的刚性传感器床(SB)组成。测量由目标区域中的MMS动态执行,并且在后处理中执行3D重建。无需卫星可见性所需的任意区域的3D模型是客观地理信息系统(GIS)所需的。因此,使用GPS的位置和姿态确定系统需要与惯性测量单元(IMU)耦合。然而,昂贵的采用IMU是在长GPS中停止下保持二维米精度。本文介绍了在此区域中均合理的函数改善MMS定位精度的合理方法。该提出的方法采用该位置测量的道路特征作为地标,该地标通过近水平相机(NHC)和最初安装在MM上的LRF来收集3D映射的数据。通过普通MMS的测量过程收集的现场数据进行评估,并确认了全GPS中断下的排入量级定位符合符合。

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